The D-score reference implementation rebuilt its measurement foundation on seven countries.
midr alternatives
The best midr alternatives in developer tools, ranked by Sparkpulse's velocity_score.
Updated Aug 20, 2026
Looking for the best alternatives to midr? Sparkpulse tracks and ranks 12 alternatives in developer tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, midr shipped 0 meaningful updates in the last 30 days and carries a velocity score of 0.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About midr
A black-box interpreter reaches CRAN, then learns multi-class and survival responses
midr explains black-box models by fitting an interpretable surrogate through Maximum Interpretation Decomposition — main effects plus second-order interactions, with exact Shapley values for the surrogate. Two months after its first CRAN release it can take a matrix response, which covers multi-class classification and survival models, and hold collections of fitted interpretations in midlist and midrib objects for comparison.
Velocity 0.0 · Last update 48m ago
Top 12 alternatives to midr
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
A football-viz package just swapped scraping for an API and broke its own output to do it.
A gene-set enrichment package that outgrew its human-only origins, then went quiet.
The recursive-computation engine under massProps grows the accessors its consumer needed
A mass-properties rollup spends a year on documentation and follows its sibling's API
Six months of releases and not one of them touched the scoring models
A cognitive-science sampling package ships once, then goes quiet for eighteen months
A Bayesian volatility sampler in its maintenance decade, paying for its own speed
Spatial thinning grows a result object, and the API breaks to make room for it
A dormant plant-breeding package returns as a genomic selection index suite
CRAN download analytics maintained one micro-change at a time, hundreds per year
INSEE's statistics API gets a French R client that keeps meeting its edge cases
midr vs alternatives — shipping velocity at a glance
Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| midr (baseline) | 0.0 | 0 | explainable-aisurrogate-modelsshapley | Matrix responses bring multi-class and survival models in scope |
| dscore | 0.0 | 0 | child-developmentpsychometricsglobal-health | dscore 2.0.0 |
| ggfootball | 0.0 | 0 | sports-analyticsr-packagedata-scraping | ggfootball 0.3.0 |
| goat | 0.0 | 0 | bioinformaticsgene-set-analysisr-package | Gene sets beyond human, and analyses you can reload |
| rollupTree | 0.0 | 0 | recursive-computationtree-structuresdag | — |
| massProps | 0.0 | 0 | systems-engineeringmass-propertiesuncertainty-propagation | — |
| writeAlizer | 0.0 | 0 | writing-assessmentnlp-featuresmodel-artifacts | — |
| samplr | 0.0 | 0 | cognitive-sciencesampling-algorithmsmcmc | — |
| stochvol | 0.0 | 0 | bayesian-inferencestochastic-volatilitymcmc | — |
| GeoThinneR | 0.0 | 0 | spatial-thinningspecies-distributionoccurrence-data | GeoThinned result objects and a reorganised method surface |
| selection.index | 0.0 | 0 | plant-breedingselection-indexgenomic-selection | Genomic, marker and multi-stage selection indices on an Rcpp core |
| packageRank | 0.0 | 0 | crandownload-analyticslog-filtering | — |
| melodi | 0.0 | 0 | official-statisticsapi-clientinsee | — |
The 12 best midr alternatives, in depth
1. dscore · velocity 0.0
The D-score reference implementation rebuilt its measurement foundation on seven countries.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “dscore 2.0.0”.
Where midr leans on explainable ai, surrogate models and shapley, dscore focuses on child development, psychometrics and global health.
dscore and midr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
2. ggfootball · velocity 0.0
A football-viz package just swapped scraping for an API and broke its own output to do it.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “ggfootball 0.3.0”.
Where midr leans on explainable ai, surrogate models and shapley, ggfootball focuses on sports analytics, r package and data scraping.
ggfootball and midr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
3. goat · velocity 0.0
A gene-set enrichment package that outgrew its human-only origins, then went quiet.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Gene sets beyond human, and analyses you can reload”.
Where midr leans on explainable ai, surrogate models and shapley, goat focuses on bioinformatics, gene set analysis and r package.
goat and midr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
4. rollupTree · velocity 0.0
The recursive-computation engine under massProps grows the accessors its consumer needed.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where midr leans on explainable ai, surrogate models and shapley, rollupTree focuses on recursive computation, tree structures and dag.
rollupTree and midr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. massProps · velocity 0.0
A mass-properties rollup spends a year on documentation and follows its sibling's API.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where midr leans on explainable ai, surrogate models and shapley, massProps focuses on systems engineering, mass properties and uncertainty propagation.
massProps and midr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
6. writeAlizer · velocity 0.0
Six months of releases and not one of them touched the scoring models.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where midr leans on explainable ai, surrogate models and shapley, writeAlizer focuses on writing assessment, nlp features and model artifacts.
writeAlizer and midr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full writeAlizer trajectory → · Compare midr vs writeAlizer →
7. samplr · velocity 0.0
A cognitive-science sampling package ships once, then goes quiet for eighteen months.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where midr leans on explainable ai, surrogate models and shapley, samplr focuses on cognitive science, sampling algorithms and mcmc.
samplr and midr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
8. stochvol · velocity 0.0
A Bayesian volatility sampler in its maintenance decade, paying for its own speed.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where midr leans on explainable ai, surrogate models and shapley, stochvol focuses on bayesian inference, stochastic volatility and mcmc.
stochvol and midr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
9. GeoThinneR · velocity 0.0
Spatial thinning grows a result object, and the API breaks to make room for it.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “GeoThinned result objects and a reorganised method surface”.
Where midr leans on explainable ai, surrogate models and shapley, GeoThinneR focuses on spatial thinning, species distribution and occurrence data.
GeoThinneR and midr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
10. selection.index · velocity 0.0
A dormant plant-breeding package returns as a genomic selection index suite.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Genomic, marker and multi-stage selection indices on an Rcpp core”.
Where midr leans on explainable ai, surrogate models and shapley, selection.index focuses on plant breeding, selection index and genomic selection.
selection.index and midr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full selection.index trajectory → · Compare midr vs selection.index →
11. packageRank · velocity 0.0
CRAN download analytics maintained one micro-change at a time, hundreds per year.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where midr leans on explainable ai, surrogate models and shapley, packageRank focuses on cran, download analytics and log filtering.
packageRank and midr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full packageRank trajectory → · Compare midr vs packageRank →
12. melodi · velocity 0.0
INSEE's statistics API gets a French R client that keeps meeting its edge cases.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where midr leans on explainable ai, surrogate models and shapley, melodi focuses on official statistics, api client and insee.
melodi and midr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Frequently asked questions
What are the best alternatives to midr?
The top midr alternatives we currently track in developer tools are dscore, ggfootball, goat, rollupTree, massProps, ranked by recent ship velocity.
How is this list of midr alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare midr directly with one of these alternatives?
Yes — every card has a "Compare with midr" link to a side-by-side /compare page.